Abstract: In this paper, the task of using Big Data to identify specific individuals on the indirect grounds of their interaction with information resources is considered. Possible sources of Big Data and problems related to its processing are analyzed. Existing means of data clustering are considered. Available software for full-text search and data visualization is analyzed, and a system based on Elasticsearch engine and MapReduce model is proposed for the solution of user verification problem.

Aleksei Voit, Aleksei Stankus, Shamil Magomedov and Irina Ivanova. “Big Data Processing for Full-Text Search and Visualization with Elasticsearch”. International Journal of Advanced Computer Science and Applications (IJACSA) 8.12 (2017). http://dx.doi.org/10.14569/IJACSA.2017.081211

@article{Voit2017,
title = {Big Data Processing for Full-Text Search and Visualization with Elasticsearch},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.081211},
url = {http://dx.doi.org/10.14569/IJACSA.2017.081211},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {12},
author = {Aleksei Voit and Aleksei Stankus and Shamil Magomedov and Irina Ivanova}
}